AI and Markets

The AI craze could further lift stock prices, boost capex, and delay the onset of the next recession. Looking further out, reaping the profit windfall from AI may take longer than many investors expect.

Once the debt ceiling soap opera ends, investors will likely turn their attention to some of the tailwinds supporting stocks. These include stronger earnings growth, diminished bank stresses, better housing data, early signs of an upleg in the manufacturing cycle, the prospects of an AI-driven productivity boom, and the fact that labor slack has managed to increase without rising unemployment. Investors should resist turning bearish on stocks for now but look to become more defensive later this year.

The Q1-2023 earnings season has surprised as companies’ results point to the end of the earnings recession. However, the good news is already priced in – the market has barely budged over the past six weeks. Earnings rebound may continue as long as the economy avoids a recession. However, inevitably, tighter monetary policy will weigh on demand, and recovery will come to a halt.

The conventional economic thinking about the likely impact of AI is misguided because it extrapolates linearly from what AI can do today to what it can do tomorrow. Just as the investment community and the broader public were blindsided by the exponential rise in Covid cases during the early days of the pandemic, they will be blindsided by how quickly AI transforms society and the economy.

The conventional economic thinking about the likely impact of AI is misguided because it extrapolates linearly from what AI can do today to what it can do tomorrow. Just as the investment community and the broader public were blindsided by the exponential rise in Covid cases during the early days of the pandemic, they will be blindsided by how quickly AI transforms society and the economy.

Innovative Tech will face macroeconomic headwinds in a new “higher for longer” interest regime. Yet, the long-term opportunity of the cohort is tremendous. Investors need to be judicious with the timing of adding new capital to these themes to bolster long-term returns.

Generative AI is a major technological breakthrough that holds tremendous economic and investment promise and will have sweeping effects on wide swaths of the economy. We are bullish on generative AI as a long-term investment theme. However, at the moment we observe hallmarks of an investment frenzy. We believe that there will be a more attractive entry point for patient investors.

Executive Summary Robotization Is Gaining Pace The Robot Revolution The Robot Revolution ​​​​In today’s publication, we will zero in on one of the most exciting areas of technological innovation that also presents substantial long-term investment potential – robotics. The robotics industry is expected to grow steadily both in the US and abroad thanks to a confluence of favorable long-term trends such as deteriorating global demographics, and a shift of manufacturing toward onshoring and customization. Thanks to technological breakthroughs in the areas of AI, machine learning, lidars, and machine vision, robots are becoming more intelligent and dexterous, thus suitable for an increasing list of tasks and applications. Robots are also becoming more affordable, which is a catalyst for ubiquitous adoption. Increased connectivity and broad-based automation and robotization, are ushering in Industrial Revolution 4.0, improving productivity manyfold. Over time, robotics will change our world beyond recognition, improving not only manufacturing and service industries but also our daily lives. Bottom Line: Robotics is an exciting story of technological innovation, which also presents substantial long-term investment potential. And while the US equity market is likely to remain volatile for months to come, the recent correction in robotics stocks presents an attractive entry point for patient investors with longer investment horizons.     Chart 1US Manufacturers Cannot Fill In Vacant Positions, Wages Are Surging US Manufacturers Cannot Fill In Vacant Positions, Wages Are Surging US Manufacturers Cannot Fill In Vacant Positions, Wages Are Surging Last month we published a report: “Industrials: A Trifecta Of Positives” in which we noted that the US is entering a period of industrial boom prompted by favorable government policy and generous spending, and strong new trends in onshoring and automation (Chart 1). This trifecta of positives helps the sector defy the gravity of the slowing economy.   In this week’s publication, we will zero in on automation and robotization. This is one of the most exciting areas of technological innovation, which presents substantial long-term investment potential. And while the US equity market is likely to remain volatile for months to come, robotics ETFs such as BOTZ, ROBO, IRBO, and ROBT are off some 40%-50% from their recent post-pandemic peaks (Table 1) and present an attractive entry point for patient investors with longer investment horizons. Table 1An Attractive Entry Point for Long-term Investors The Robot Revolution The Robot Revolution What Is A Robot? Recent breakthroughs in AI and robotics technology are awe-inspiring and unsettling. The "robot revolution" could be as transformative as previous General Purpose Technologies (GPT), including the steam engine, electricity, and the microchip. GPTs are technologies that radically alter the economy's production process and make a major contribution to living standards over time The most basic definition is "a device that automatically performs complicated and often repetitive tasks". Interestingly, according to the definition of the International Standards Organization (ISO), software (bots, AI, process automation), remotely controlled drones, voice assistants, autonomous cars, ATMs, smart washing machines, etc. are not robots. Broadly speaking, there are three types of robots: Industrial, service, and collaborative (cobots). Industrial robots work on assembly lines in manufacturing, service robots perform necessary as well as potentially harmful tasks for humans, while collaborative robots (or “cobots”) work next to human workers. We will discuss different types of robots in more depth in later sections. Robotics Industry Is Growing Steadily Global Adoption Chart 2Robotization Is Gaining Pace The Robot Revolution The Robot Revolution According to the International Federation of Robotics, as of 2020, industrial robot stock has constituted 3 million units and between 2015 and 2020 has been growing at 13% per year. A total of 383,000 units of industrial robots were installed in 2020. Industrial robots reported record preliminary sales in 2021, with 486,800 units shipped globally, a 27% increase from 2020. The pace of installations is forecasted to stay robust well into 2024 (Chart 2). Service robot adoption has also clearly been crossing the chasm: In 2020, nearly 132,000 service robots were installed, a 41% increase over 2019, and 19 million consumer service robots were installed, a 6% increase over 2019. Together, the service robot turnover was approximately $12 billion in 2020. The US Is Lagging But The Pace Is Accelerating Chart 3Industrial Robots Across The Globe The Robot Revolution The Robot Revolution The US has been lagging other developed countries in terms of automation and robotization (Chart 3). However, labor shortages brought about by the pandemic appear to have “moved the needle.” According to the Association for Advancing Automation (A3), the number of robots sold in the US in 2021 rose by 27% over 2020 with 49,900 units installed. 2022 is on pace to exceed previous records, with North American companies ordering a record 11,595 robots in Q1, a 28% increase over Q1-2021. Multiple Tailwinds Promote Ubiquitous Robotization The robotics industry is expected to grow steadily both in the US and abroad thanks to a confluence of forces, such as deteriorating global demographics, manufacturing shifts toward onshoring and customization, and technological breakthroughs that make robots more capable and affordable.  Aging Population Leads To Labor Shortages Populations in both developed and emerging markets is aging: More people both in high and upper-middle-income countries will retire in the next decade than will enter the workforce, making labor shortages inevitable. In the US, the problem is particularly acute. Since 2020, labor force participation has declined from 63.4% to 62.4%, most likely due to early retirements, while the unemployment rate stands at a historically low 3.7%. There are two job openings per job seeker, and many businesses report difficulty finding qualified staff. As companies are struggling to fill existing openings, they are increasingly turning towards robots: Replacing labor with automation/robots allows them to produce more and avoid a profit margin squeeze. IFR reports that an increasing number of small- and medium-sized businesses are deploying robots.  Related Report  US Equity StrategyIndustrials: A Trifecta Of Positives Onshoring And Reshoring As we pointed out in the recent report on Industrials, the onset of the pandemic and geopolitical tensions have accelerated the pace of reshoring. Supply chain disruptions have highlighted corporate vulnerabilities and made companies realize that “just-in-case” trumps “just-in-time.” However, companies that bring their businesses back home do realize that finding workers is a challenge, while labor costs are many times higher. Hence, one of the solutions they pursue is automation and robotization.   Mass Customization The “new normal” in many industries is mass customization, i.e., variations for a growing number of products, dubbed a “batch of one.” The shift towards high mix, low volume production raises the importance of manufacturing flexibility and agility – and that is when the industrial robot, capable of working in high to low-volume productions on simple to complex processes, comes to the rescue. The Lower Total Cost Of Ownership Technological advances have made robots both more sophisticated and more affordable. In addition, to a growing supply of low-cost robots, there are also novel pricing models, such as “Robots-as-a-Service” and pay-as-you-use, which support the ubiquitous adoption of robots even by smaller enterprises. Technological Breakthroughs Recent advances in artificial intelligence (AI), computer vision, radars, and networks have expanded the range of tasks that robots can do. Effectively, new technology gives the robot the ability to see, hear, and pick up objects, acting differently according to the data the robot receives, offering it a certain level of autonomous decision-making. Now that robots can “see” and “hear,”, they are being taught how to “feel,” and some of the recent technological advances are truly mind-boggling. Glasgow University researchers have developed ultra-sensitive electronic skin that learns from sensations it experiences. A robotic hand covered with the new e-skin recoiled from what it recognized as “painful” stimuli. This new technology will allow robots to interact with the world in a whole new way, an invention that can be leveraged in a wide range of applications, from prosthetic limbs to the “internet-of-things”.1 And this is just one of many recent inventions. Virtuous Cycle Of Innovation The Robotics industry is going through a perpetual and ever-accelerating cycle of innovation (Chart 4). Improvements to one domain of robotic applications can be transferred to others, benefitting from “adjacent” technologies. In other words, innovations in vacuum cleaners or transport trucks can be easily applied to other areas of robotics, as despite differences in prices and value-add, all the robotic applications are trying to solve the same problems. Advances in different fields in robotics create opportunities for ever more applications, creating a virtuous cycle. Chart 4Robotics Will Enter Into A Virtuous Cycle The Robot Revolution The Robot Revolution Furthermore, robotics is a poster child for Moore’s Law, which refers to the phenomenon whereby transistors on a microchip double every two years, eventually leading to exponential improvements in computing power. Automation and robotics take advantage of these improvements as they are challenged with more complex tasks. We predict the virtuous cycle for robots will span several decades. As the cost of automation drops, better solutions will be developed, resulting in the ‘early retirement’ of dated but otherwise fully functional robotic systems. The following is a brief synopsis of advances in technology and their applications to robotics. Technologies That Help Robots Act Like Humans AI And Machine Learning (ML) AI and ML not only teach robots to perform certain tasks but also makes machines more intelligent by training them to act in different scenarios. To do this, vast amounts of data are consumed. For example, to “teach” a robot to recognize an object and act accordingly, a massive number of images are used to train the computer vision model. Dexterity And Deep Imitation Learning One of the major challenges of roboticists is improving the dexterity of robots and empowering them to manipulate objects gripped by the hand, akin to humans. Some researchers are using machine learning to empower robots to independently identify and work out how to grab objects. Deep Imitation Learning, neural-network-based algorithms, allow the robot to “learn” from humans. For example, in a robotics study led by researchers from the University of Tokyo, the machine learning embedded in the robot practiced a method observed by a human demonstrator. After watching one of the researchers peel a banana periodically for thirteen hours, a robot successfully learned how to peel a banana without crushing the fruit.2 There are also major improvements in hardware, with grippers ranging from pincer-like appendages to human-like hands. Lidar Lidar (Light Detection and Ranging) technology uses sophisticated laser radars that allow robots to navigate their surroundings through object perception, identification, and collision avoidance. Lidar sensors provide information in real-time about the robot’s surroundings such as walls, doors, people, and various objects. While originally expensive, Lidar costs are starting to fall thanks to a more effective chip design and more economical mechanical implementation. Lidars are crucial for advances in industrial automation and warehouse robots. Machine Vision Deep Learning has brought about a groundbreaking advancement in machine vision. One of the early hurdles in machine vision may be described with a simple question: “Am I looking at a large object that’s far away or a tiny object that’s up close?”  The modern approach to answering this question is to use both 3-D cameras and the context. 3-D is simulated by using two or more overlapping cameras, correlating the information on camera movements with changing images from the cameras. Deep Learning algorithms help formulate the context of these changing images.3 Machine vision provides higher quality mapping at a more affordable cost than Lidar, especially when it comes to indoor robotics and automation. Industrial Internet Of Things In Robotics The implementation of the “Industrial Internet of Things” (IIoT) is vital for manufacturing automation and robotics. Its main goal is to create a constant tracking of inputs and outputs, enabling communication along the entire supply chain, passing data between enterprise level and plant floor systems, and improving productivity through the use of big data.  Robots working at different stages of the manufacturing process are interconnected, ensuring flawless production. IIoT technology aims to improve productivity by reducing human-to-human and human-to-computer interactions, reducing costs, and minimizing the probability of mistakes. Similar to smart homes, IIoT factories are smart factories.4 Industrial Revolution 4.0 Early industrial robots performed very specific operations under carefully controlled conditions – an assembly robot that encountered a misaligned component would simply install it that way, resulting in a defective product. However, thanks to improvements in vision systems, computing, AI, and mechanics, the ability of robots to perform increasingly complex tasks that involve some limited decision-making has improved. Increased connectivity, brought about by IIoT, and ubiquitous automation and robotization, are ushering in a new Industrial Revolution, dubbed 4.0. As in previous industrial revolutions, innovation improves productivity manifold. Chart 5Robots Are Proficient In Many Tasks The Robot Revolution The Robot Revolution Industrial robots are deployed to carry out a wide variety of tasks (Chart 5). Arc welding, spot welding, assembly, palletizing, material removal, inspection, material handling, and packaging are some of the most popular applications for robots, but the list does not stop with just those. Industrial robots limit the need for human interaction while being able to complete tasks accurately with a high level of repeatability. Proficiency with these many tasks allows robots to add value to a multitude of industries, such as automotive, electronics, aerospace, food, and medical. While in the past the automotive sector was the key end-demand market for global robotics sales, non-automotive sales now represent 58% of the total, demonstrating a broadening reach of automation. Metals, Auto, and Food and Consumer Goods have the highest growth in terms of the purchase of robots (Charts 6 & 7). Chart 6Robots Are Gaining Traction In Multiple Industries The Robot Revolution The Robot Revolution Chart 7In The US, Robotization Is Broad-Based The Robot Revolution The Robot Revolution We expect the rising digitalization of the manufacturing sector to lead to a new wave of automation investment in developed countries. Key Players In Industrial Robots Space The global industrial robotics market is largely dominated by established Japanese and European companies: ABB, Yaskawa, KUKA, and Fanuc. However, the sizzling demand for robots demonstrates that technological breakthroughs are no longer just about the established players, as many industrial companies, such as Rockwell Automation, Eaton, and Caterpillar, are becoming leaders in this new space. These companies also reach across the aisle to software companies to leverage their expertise in data storage, computing, and artificial intelligence. Rockwell has recently partnered with Microsoft, while others are acquiring software companies. Deere has acquired GUSS Automation, a pioneer in semi-autonomous spring for high-value crops. These companies will benefit from strong demand for their products and should exhibit strong sales and profit growth. Service Robots Are Here To Help Service robots can significantly benefit humans in a variety of fields, including healthcare, automation, construction, household, and entertainment. These robots are managed by internal control systems, with the option of modifying the operation manually. These service robots remove the possibility of human error, manage time, and increase production by lowering the workload of staff and labor. Chart 8Service Robots Across Industries The Robot Revolution The Robot Revolution Service robots are quickly becoming an essential part of business for service-focused companies in healthcare, logistics, and retail (Chart 8). Developments in edge artificial intelligence processors and the arrival of 5G telecom services are likely to propel the market for service robots to new heights. The usage of service robots is extremely broad and range from cleaning to preparing meals to delivering goods. The following are some of the key areas that benefit from service robots. Healthcare Common duties assigned to service robots include setting up patient rooms, tracking inventory and placing orders, and transporting supplies, medication, and linens. Cleaning and disinfection robots can also help create a safe and sanitized facility for everyone. Further, robots assist in performing difficult surgeries and medical procedures.  Robots also help the elderly and disabled. For example, ReWalk has developed a wearable robotic exoskeleton that provides powered hip and knee motion to enable individuals with spinal cord injury (SCI) to stand upright, walk, turn, and climb and descend stairs. The system allows independent, controlled walking while mimicking the natural gait pattern of the legs. Military Defense Autonomous Mobile Robots (AMR) are helpful for combating fires, disarming bombs, and traversing through dangerous areas. Fully automated drone robots are indispensable for military intelligence and combat operations. Logistics As e-commerce sales continue to surge, logistics businesses are using service robots to help overcome current labor shortages, assist current workers to avoid workforce burnout, and enable warehouse automation. Robotic arms are often assigned tasks like picking, placing, and sorting objects, and because these cobots can navigate warehouses independently, they are used to deliver materials to human workers for accurate and efficient order fulfillment. Some logistics companies, such as FedEx, are experimenting with using AMR for last-mile delivery of goods, which is often the most expensive and least productive part of the entire delivery chain. AMR can navigate sidewalks, unpaved surfaces, and steps while carrying cargo. Key Players In Service Robots Space Many US companies are active in this space. Amazon (AMZN) developed robots to support its fulfillment center operation: Robots help automate storage and retrieval mechanisms throughout vast warehouses. IRobot (IRBT) has developed a series of AI-enabled robot vacuums, mops, and pool cleaners – friendly pet-like bots you may see in many American homes. There are also highly sophisticated surgical robots, developed by Stryker (SYK) and Intelligent Surgical (ISRG).  Collaboration Between Humans And Robots Collaboration between humans and robots is still in its infancy but it is one of the fastest-growing fields within robotics. Cobots work alongside humans, allowing humans to be more productive and avoid tedious or strenuous tasks. Cobots can be installed directly in the current production system, with less space than conventional robots. Equipped with intelligent features such as vision and force sensors, the flexibility of cobots means they can perform tasks like parts handling, assembly, and bin picking. Manufacturers adopting cobots, particularly those featuring vision and inspection systems, are seeing an increase in quality and efficiency. Investment Characteristics I hope we have convinced our readers that Robotics is a promising long-term investment theme. We also noted that the robotics ETFs are currently down substantially from their peaks. However, this report would not have been complete without a closer look at the investment characteristics of the robotics ETFs. A few salient points: Table 2Price Sensitivity The Robot Revolution The Robot Revolution Robotics ETFs have betas to the S&P 500 ranging from 1.2 to 1.4 (Table 2), which signals that the robotics sector is a high octane play on the US equity market. The recent pullback in the S&P 500 was particularly punishing for the stocks exposed to robotics. In terms of market capitalization, companies in this space tend to be smaller than the median company in the S&P 500, as they constitute the robotics ecosystem and supply chain (AI, Lidar), and tend to be younger and smaller. Robotics ETFs have always traded at a premium to the market given their superb growth potential. However, currently, ROBO ETF, which is a proxy for the rest of the cohort on a relative basis, is trading just under a half standard deviation above the historical mean (Chart 9). In terms of macroeconomic exposure, all of the robotics ETFs have a pronounced negative exposure to the US dollar – after all, robotics and automation are a global phenomenon. A stronger dollar makes American multinational sales from abroad lower both because of the translation effect and higher prices. The robotics theme doesn’t have much exposure to interest rates, inflation, or commodities, but is somewhat positively exposed to bitcoin (Table 3). Chart 9Valuations And Technicals Are Attractive Valuations And Technicals Are Attractive Valuations And Technicals Are Attractive Table 3Robotics Is A High Octane Equities Theme With A Significant Sensitivity To USD The Robot Revolution The Robot Revolution Investment Implications Robotics is a compelling long-term investment theme as Industrial Revolution 4.0 is taking place in front of our eyes. And while over the short term, monetary tightening and slowing economic growth, both at home and abroad, will be a headwind; over time a new Google or Facebook may emerge in this space. We have already watched the success of Nvidia, a supplier of sophisticated chips for the industry. Table 4Comparing ETFs The Robot Revolution The Robot Revolution There are four ETFs that focus on Robotics and Automation (Table 4). BOTZ Is the largest ETF with $2.1 billion AUM, followed by ROBO at $1.7 billion, which is also the most expensive (Table A1 in the Appendix) Which one is the best? To answer this question, we have turned to the quant wizards at the BCA Equity Analyzer team. To compare the ETFs, they have assigned a BCA stock selection and Owl Analytics ESG scores to stocks in each of the robotics ETFs, to calculate composites.  We note the BCA composite score is low across the board, as robotics as a nascent investment theme scores low on valuations. We note that while ESG scores are comparable across the portfolios, there is some variation in BCA scores. Overall, ROBO is marginally better than the other options: It has the highest BCA score and is the most liquid. It also has a lower beta to the S&P 500 than BOTZ and IRBO, making it slightly less risky. Unfortunately, it is also the most expensive.  Bottom Line Robotics is an exciting long-term theme that benefits from multiple tailwinds, such as demographic trends, continuous technological innovation, reshoring, and customization. Robots are also becoming more intelligent and dexterous, and have better “senses,” making them suitable for an increasing list of tasks and applications. Robots are also becoming more affordable, which is a catalyst for ubiquitous adoption. Over time, robotics will change our world beyond recognition, improving not only manufacturing and service industries but also our daily lives. And that is a future from which investors should certainly profit.    Irene Tunkel Chief Strategist, US Equity Strategy irene.tunkel@bcaresearch.com   Appendix Table A1ETF Universe The Robot Revolution The Robot Revolution Footnotes 1     Clive Cookson in London, "Ouch! Robotic hand with smart skin recoils when jabbed in the palm,”  Financial Times, June 1, 2022, ft.com 2     Ron Jefferson, "Deep Learning Robot with Fine Motor Skills Peel Bananas Without Crushing the Fruit,”  Science Times, March 29, 2022, sciencetimes.com 3     "Is Lidar Going to be Replaced by Machine Vision?”  LiDAR News, January 12, 2022, blog.lidarnews.com 4     Jennifer Stowe, "Automation‌ ‌and‌ ‌IoT‌‌: ‌Transforming‌ ‌How‌ ‌Industries‌ ‌Function‌‌,”  IoT For All, October 12, 2020, iotforall.com Recommended Allocation Recommended Allocation: Addendum The Robot Revolution The Robot Revolution